ProCMotive

Author:

Mosenia Arsalan1,Bechara Jad F.1,Zhang Tao2,Mittal Prateek1,Chiang Mung3

Affiliation:

1. Princeton University, Department of Electrical Engineering, Princeton University, Princeton, NJ, USA

2. Cisco Systems, USA

3. Purdue University, Department of Electrical and Computer Engineering, West Lafayette, IN, USA

Abstract

In recent years, numerous vehicular technologies, e.g., cruise control and steering assistant, have been proposed and deployed to improve the driving experience, passenger safety, and vehicle performance. Despite the existence of several novel vehicular applications in the literature, there still exists a significant gap between resources needed for a variety of vehicular (in particular, data-dominant, latency-sensitive, and computationally-heavy) applications and the capabilities of already-in-market vehicles. To address this gap, different smartphone-/Cloud-based approaches have been proposed that utilize the external computational/storage resources to enable new applications. However, their acceptance and application domain are still very limited due to programmability, wireless connectivity, and performance limitations, along with several security/privacy concerns. In this paper, we present a novel reference architecture that can potentially enable rapid development of various vehicular applications while addressing shortcomings of smartphone-/Cloud-based approaches. The architecture is formed around a core component, called SmartCore, a privacy/security-friendly programmable dongle that brings general-purpose computational and storage resources to the vehicle and hosts in-vehicle applications. Based on the proposed architecture, we develop an application development framework for vehicles, that we call ProCMotive. ProCMotive enables developers to build customized vehicular applications along the Cloud-to-edge continuum, i.e., different functions of an application can be distributed across SmartCore, the user's personal devices, and the Cloud. In order to highlight potential benefits that the framework provides, we design and develop two different vehicular applications based on ProCMotive, namely, Amber Response and Insurance Monitor. We evaluate these applications using real-world data and compare them with state-of-the-art technologies.

Funder

DARPA Dispersed Computing

Princeton IP Accelerator Award

Princeton Innovation Award

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference59 articles.

1. 2017. Amazon Web Services. {Online} https://aws.amazon.com/ec2/instance-types/. (2017). Accessed: 07-30-2017. 2017. Amazon Web Services. {Online} https://aws.amazon.com/ec2/instance-types/. (2017). Accessed: 07-30-2017.

2. 2017. Amber alert reports. {Online} https://www.amberalert.gov/statistics.htm. (2017). Accessed: 07-30-2017. 2017. Amber alert reports. {Online} https://www.amberalert.gov/statistics.htm. (2017). Accessed: 07-30-2017.

3. 2017. Automatic license plate recognition library. {Online} https://github.com/openalpr/openalpr. (2017). Accessed: 07-30-2017. 2017. Automatic license plate recognition library. {Online} https://github.com/openalpr/openalpr. (2017). Accessed: 07-30-2017.

4. 2017. Can a vehicle be harmed with bad inputs via an OBD-2 port? {Online} https://mechanics.stackexchange.com/questions/19109/can-a-vehicle-be-harmed-with-bad-inputs-via-an-obd-2-port. (2017). Accessed: 07-30-2017. 2017. Can a vehicle be harmed with bad inputs via an OBD-2 port? {Online} https://mechanics.stackexchange.com/questions/19109/can-a-vehicle-be-harmed-with-bad-inputs-via-an-obd-2-port. (2017). Accessed: 07-30-2017.

5. 2017. Car ECU flash reprogramming and why reprogram. {Online} http://www.totalcardiagnostics.com/support/Knowledgebase/\Article/View/52/0/car-ecu-flash-reprogramming--why-reprogram. (2017). Accessed: 07-30-2017. 2017. Car ECU flash reprogramming and why reprogram. {Online} http://www.totalcardiagnostics.com/support/Knowledgebase/\Article/View/52/0/car-ecu-flash-reprogramming--why-reprogram. (2017). Accessed: 07-30-2017.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3